Cerebras Systems Logo

Cerebras Systems

Distributed Software Engineer

Reposted 7 Days Ago
Be an Early Applicant
Easy Apply
In-Office
3 Locations
Mid level
Easy Apply
In-Office
3 Locations
Mid level
Develop and automate configuration for distributed clusters, create monitoring tools, manage cloud operations, and ensure system reliability for Cerebras AI supercomputers.
The summary above was generated by AI

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role

Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster.

Responsibilities
  • Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches.
  • Additional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters.
  • An orchestration and scheduler system for resource allocation, job submission C placements for a multi-user environment on a cluster.
  • Seamless support for both on-premise and cloud mode deployment and operations.
  • A robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters).
  • Broad cluster and job monitoring and visualization capabilities, along with alerting systems.
  • User facing tools to monitor the status of jobs and collect metrics.
  • Administrator facing tools to manage and operate large clusters.
Skills & Qualifications
  • Strong track record of software architecture, system design and development.
  • Strong track record of development in distributed cluster.
  • Strong understanding of Kubernetes (K8s) software ecosystem, Prometheus and Grafana.
  • Strong development skills in GoLang, Python, bash.
  • Strong debugging skills with distributed systems.
  • Strong skill to develop tests for the new features and regress old features.

This offer is contingent upon Cerebras successfully obtaining an export license from the U.S. Department of Commerce’s Bureau of Industry and Security authorizing the release to you of certain software source code and/or technology that is subject to the Export Administration Regulations. However, we can make no assurances with respect to the final disposition of an export license application.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Top Skills

Bash
Go
Grafana
Kubernetes
Prometheus
Python
HQ

Cerebras Systems Sunnyvale, California, USA Office

1237 E Arques Ave, Sunnyvale, CA, United States, 94085

Similar Jobs

20 Days Ago
In-Office
9 Locations
Senior level
Senior level
Artificial Intelligence • Software • Energy • Renewable Energy
The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.
Top Skills: Ai/Ml FrameworksGoJavaPythonPyTorchTensorFlow
5 Days Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
As a Senior Software Engineer for Quicksilver, you will work on a globally distributed key-value store, improving performance, writing features, supporting the stack, and debugging complex systems.
Top Skills: CGo
8 Days Ago
In-Office
23 Locations
120K-228K Annually
Senior level
120K-228K Annually
Senior level
Digital Media
Seeking a Senior Software Engineer to design scalable backend services and optimize data pipelines in Python, working with AWS in a team-oriented environment.
Top Skills: AirflowAWSDatabricksDatadogEcsElasticacheLambdaPythonSparkSqsTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account